在机器学习模型的运行中，任务的并行处理能力至关重要。传统的中央处理器（CPU）在处理并行任务方面效率较低，因此在CPU上运行模型速度较慢。相比之下，图形处理器（GPU）擅长并行处理，因此被广泛用于加速机器学习任务。

油管有博主，从另外角度分享Apple M系列跑大模型的能力，我稍微搬砖一下给大家。 博主比较了2014款配备英特尔处理器的MacBook Pro与多款搭载不同M系列芯片的MacBook的性能。测试使用了一个小型语言模型（LLaMA ...

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